Evidence map›Paper›PMID 42639388›Full record

ArticleERJ open research2026

Percentile-based

Michaël Staes, Marieke Wuyts, Maarten De Vos, Thierry Troosters, Wim Janssens

Abstract read
In one paragraph

Article in ERJ open research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Michaël StaesLaboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0009-0008-4560-9078
Marieke WuytsDepartment of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0002-6031-8171
Maarten De VosWoman and Child, Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
Thierry TroostersDepartment of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.
Wim JanssensLaboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0003-1830-2982

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Determining whether a value falls within the expected range is a central step in cardiopulmonary exercise testing (CPET) interpretation. Conventional thresholds based on absolute or percentage-predicted values are widely used but fail to capture population variability. This study evaluated the validity of percentile-based thresholds derived from the Study of Health in Pomerania (SHIP) for a Western population and compared their impact on classification with conventional thresholds in individuals without known cardiorespiratory disease and patients with cardiorespiratory disease. Methods: We retrospectively analysed 886 maximal CPETs from 294 individuals without known cardiorespiratory disease (control group) and 592 patients with COPD, interstitial lung disease, heart failure or pulmonary hypertension. Percentile-based thresholds were evaluated for suitability by comparing abnormality rates with the expected 5% in the control group for peak oxygen uptake ( Results: Percentile-based thresholds classified 4-8% of CPETs as abnormal in the control group, consistent with the expected 5%. In patients, conventional thresholds classified up to 14% more Conclusion: The SHIP-derived percentile-based thresholds are valid for Western populations, and their application leads to substantial differences in abnormality classification of CPET results compared to conventional thresholds, especially in patients.

Identifiers

PMID42639388
PMCPMC13501442

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.